Senior Data & Analytics Engineer - Flexible, Impactful Pipelines

AgileEngine, LLC.; Puebla de Zaragoza; Híbrido; MXN 1.168.000 - 1.428.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flextime

USD-based compensation

Projects with Fortune 500 clients

Mentorship and TechTalks

Education budget

Descripción de la vacante

AgileEngine in Puebla, Mexico is seeking a Senior Data and Analytics Engineer to build data pipelines and analytical models that drive BI and strategic decisions in the media and entertainment sector.

You will work with a modern stack including Snowflake, dbt Cloud, GitHub, VS Code, and Python to deliver robust data features, scalable pipelines, and insights, while collaborating with product and analytics teams.

Formación

• 4+ years of experience in data/analytics engineering in production
• Expert-level Python and SQL skills; strong dbt Cloud experience preferred
• Proficiency with Snowflake and development tools (GitHub, VS Code)
• Ability to thrive in a fast, semi-structured environment and communicate with non-technical stakeholders
• Experience with data pipelines and business intelligence

Responsabilidades

• Deliver robust data features and pipelines within project teams, focusing on business-facing verticals
• Translate complex business use cases into robust data models using SQL and dbt Cloud
• Build and maintain scalable pipelines using Snowflake, dbt Cloud, GitHub, VS Code, and Python
• Collaborate with leadership to adopt AI tools (GitHub Copilot, Snowflake Cortex) within governance
• Work with product managers and analysts to deliver consumption-ready data

Conocimientos

Python

SQL

dbt Cloud

Snowflake

GitHub

VS Code

Data pipelines

Communication

Herramientas

Snowflake

GitHub

VS Code

dbt Cloud

Descripción del empleo

AgileEngine in Puebla, Mexico is seeking a Senior Data and Analytics Engineer to build data pipelines and analytical models that drive BI and strategic decisions in the media and entertainment sector.

You will work with a modern stack including Snowflake, dbt Cloud, GitHub, VS Code, and Python to deliver robust data features, scalable pipelines, and insights, while collaborating with product and analytics teams.